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Mr Creative on MSN11u
Fast Multiplication: The Incredible Karatsuba Algorithm Explained
In this video, we delve into the fascinating world of big number multiplication and explore how computers perform this task ...
Deep Learning with Yacine on MSN5d
Adam Optimization From Scratch in Python | Step-by-Step Guide
In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...
As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.
Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.
We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy, in particular) that do all the hard work.
Computer coding genius George Hotz asks the Mistral 7B model to make the Q* algorithm in python and run it.
It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .
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